WO2006065944A3 - Systeme et procede de classification de la valeur relative des termes dans une demande de recherche multiterme par prevision de troncation - Google Patents

Systeme et procede de classification de la valeur relative des termes dans une demande de recherche multiterme par prevision de troncation Download PDF

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Publication number
WO2006065944A3
WO2006065944A3 PCT/US2005/045329 US2005045329W WO2006065944A3 WO 2006065944 A3 WO2006065944 A3 WO 2006065944A3 US 2005045329 W US2005045329 W US 2005045329W WO 2006065944 A3 WO2006065944 A3 WO 2006065944A3
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WO
WIPO (PCT)
Prior art keywords
terms
term
search
same user
deletion probability
Prior art date
Application number
PCT/US2005/045329
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English (en)
Other versions
WO2006065944A2 (fr
Inventor
Rosie Jones
Daniel C Fain
Original Assignee
Yahoo Inc
Rosie Jones
Daniel C Fain
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yahoo Inc, Rosie Jones, Daniel C Fain filed Critical Yahoo Inc
Priority to EP05854113A priority Critical patent/EP1834259A4/fr
Priority to JP2007546875A priority patent/JP4647666B2/ja
Publication of WO2006065944A2 publication Critical patent/WO2006065944A2/fr
Publication of WO2006065944A3 publication Critical patent/WO2006065944A3/fr
Priority to HK08104662.1A priority patent/HK1114915A1/xx

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y10S707/99935—Query augmenting and refining, e.g. inexact access
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y10S707/99936—Pattern matching access
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99941—Database schema or data structure
    • Y10S707/99944—Object-oriented database structure
    • Y10S707/99945—Object-oriented database structure processing

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Finance (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

L'invention concerne un procédé de détermination de l'importance probable de chaque terme dans une demande à un moteur de recherche de deux ou de plusieurs termes, grâce au résultat de la probabilité de troncation de ceux-ci. Si les résultats de la probabilité de troncation sont significativement différents, le résultat de la probabilité de troncation peut être utilisé pour renvoyer des articles ciblés associés au terme ou termes les plus importants avec les résultats de la recherche. Les résultats de la probabilité de troncation sont déterminés en rassemblant en premier lieu l'historique des demandes de recherche de deux ou de plusieurs termes, avec une demande ultérieure soumise par le même utilisateur après la troncation d'un de plusieurs termes. Le résultat de la probabilité de troncation pour un terme particulier d'une demande de recherche est calculé comme rapport du nombre de fois que ce terme particulier a été lui-même tronqué avant une recherche ultérieure par le même utilisateur, divisé par le nombre de demandes de recherche ultérieures par le même utilisateur dans lesquelles un terme ou des termes quelconques, y compris ledit terme donné, ont été tronqués par le même utilisateur avant la recherche ultérieure. Les termes ne se limitent pas des à mots alphabétiques individuels.
PCT/US2005/045329 2004-12-14 2005-12-14 Systeme et procede de classification de la valeur relative des termes dans une demande de recherche multiterme par prevision de troncation WO2006065944A2 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP05854113A EP1834259A4 (fr) 2004-12-14 2005-12-14 Systeme et procede de classification de la valeur relative des termes dans une demande de recherche multiterme par prevision de troncation
JP2007546875A JP4647666B2 (ja) 2004-12-14 2005-12-14 削除予想を使用して多用語サーチ問合せにおける用語の相対値をランク付けするシステム及び方法
HK08104662.1A HK1114915A1 (en) 2004-12-14 2008-04-28 System and method for ranking the relative value of terms in a multi-term search query using deletion prediction

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/013,298 2004-12-14
US11/013,298 US7406465B2 (en) 2004-12-14 2004-12-14 System and methods for ranking the relative value of terms in a multi-term search query using deletion prediction

Publications (2)

Publication Number Publication Date
WO2006065944A2 WO2006065944A2 (fr) 2006-06-22
WO2006065944A3 true WO2006065944A3 (fr) 2007-01-18

Family

ID=36585277

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/045329 WO2006065944A2 (fr) 2004-12-14 2005-12-14 Systeme et procede de classification de la valeur relative des termes dans une demande de recherche multiterme par prevision de troncation

Country Status (7)

Country Link
US (1) US7406465B2 (fr)
EP (1) EP1834259A4 (fr)
JP (1) JP4647666B2 (fr)
KR (2) KR20070090014A (fr)
CN (2) CN101615202A (fr)
HK (1) HK1114915A1 (fr)
WO (1) WO2006065944A2 (fr)

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US20080172636A1 (en) * 2007-01-12 2008-07-17 Microsoft Corporation User interface for selecting members from a dimension
CN101286150B (zh) * 2007-04-10 2010-09-15 阿里巴巴集团控股有限公司 生成更新参数的方法和装置、展示相关关键词的方法和装置
US8086624B1 (en) * 2007-04-17 2011-12-27 Google Inc. Determining proximity to topics of advertisements
US8229942B1 (en) 2007-04-17 2012-07-24 Google Inc. Identifying negative keywords associated with advertisements
KR100902758B1 (ko) * 2007-10-22 2009-06-15 엔에이치엔(주) 키워드 검색순위 산정 방법 및 시스템
US8051076B1 (en) 2007-12-13 2011-11-01 Google Inc. Demotion of repetitive search results
US20090187540A1 (en) * 2008-01-22 2009-07-23 Microsoft Corporation Prediction of informational interests
US20090248669A1 (en) * 2008-04-01 2009-10-01 Nitin Mangesh Shetti Method and system for organizing information
US8645409B1 (en) * 2008-04-02 2014-02-04 Google Inc. Contextual search term evaluation
US20100312793A1 (en) * 2009-06-08 2010-12-09 International Business Machines Corporation Displaying relevancy of results from multi-dimensional searches using heatmaps
US20110178856A1 (en) * 2010-01-20 2011-07-21 Haven Lorenzini Micaelian and Marcantonio Parisi System and method for sharing with registered users revenue generated by advertisements displayed with content
US8176067B1 (en) 2010-02-24 2012-05-08 A9.Com, Inc. Fixed phrase detection for search
KR101850886B1 (ko) 2010-12-23 2018-04-23 네이버 주식회사 감소 질의를 추천하는 검색 시스템 및 방법
US10127578B2 (en) 2011-05-09 2018-11-13 Capital One Services, Llc Method and system for matching purchase transaction history to real-time location information
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CN103729359B (zh) 2012-10-12 2017-03-01 阿里巴巴集团控股有限公司 一种推荐搜索词的方法及系统
US10902067B2 (en) * 2013-04-24 2021-01-26 Leaf Group Ltd. Systems and methods for predicting revenue for web-based content
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US11062368B1 (en) * 2014-03-19 2021-07-13 Google Llc Selecting online content using offline data
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Also Published As

Publication number Publication date
CN101080711A (zh) 2007-11-28
WO2006065944A2 (fr) 2006-06-22
CN100524303C (zh) 2009-08-05
EP1834259A4 (fr) 2010-08-04
JP4647666B2 (ja) 2011-03-09
JP2008523527A (ja) 2008-07-03
HK1114915A1 (en) 2008-11-14
US7406465B2 (en) 2008-07-29
KR20100049119A (ko) 2010-05-11
KR20070090014A (ko) 2007-09-04
CN101615202A (zh) 2009-12-30
EP1834259A2 (fr) 2007-09-19
US20060129534A1 (en) 2006-06-15

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